Optimizing Spectrum Sensing in Cognitive Geo- Leo Satellite Networks: Overcoming Challenges for Effective Spectrum Utilization

The rapid growth of wireless and satellite technologies has increased the demand for efficient use of the electromagnetic spectrum. Cognitive satellite networks offer a promising solution, with spectrum sensing being crucial for the optimal utilization of radio-frequency (RF) resources. However, in cognitive satellite networks, characterized by excessive propagation delays, the effectiveness of spectrum sensing depends on the strategic placement of sensing nodes. This article represents the first endeavor in the literature to investigate optimal spectrum-sensing locations considering propagation delay for effective spectrum utilization in cognitive satellite networks. We begin by examining the geostationary (GEO) satellite downlink spectrum availability for cognitive technology through observations of the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Inmarsat-4 F1</i> satellite downlink activities. We then analyze the impact of propagation delays on spectrum sensing in cognitive dual-satellite networks (CDSNs), where low-Earth orbit (LEO) satellites share the spectrum allocated to GEO satellites. Additionally, we address a critical design consideration: tracking GEO frequencies against Doppler shifts at LEO satellites, which significantly affects the effectiveness of spectrum sensing by LEO satellites. Finally, we explore future research directions in spectrum sensing within cognitive GEO-LEO satellite networks.

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Publication Details

Journal
IEEE Vehicular Technology Magazine
Published
2025-02-05
DOI
https://doi.org/10.1109/mvt.2025.3531341
Citations
6
Primary Topic
Satellite Communication Systems
Type
article
Field-Weighted Citation Impact
24.97
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article

Optimizing Spectrum Sensing in Cognitive Geo- Leo Satellite Networks: Overcoming Challenges for Effective Spectrum Utilization

Quynh Tu Ngo, Beeshanga Abewardana Jayawickrama, Ying He, Nathan Clark et al.
6 citations
IEEE Vehicular Technology Magazine
Satellite Communication Systems
24.97
article

Optimizing Spectrum Sensing in Cognitive Geo- Leo Satellite Networks: Overcoming Challenges for Effective Spectrum Utilization

Quynh Tu Ngo, Beeshanga Abewardana Jayawickrama, Ying He, Nathan Clark, Eryk Dutkiewicz, Mark Bowyer, Kithmini Weththasinghe, Edward Arbon
article en
6 citations

Abstract

The rapid growth of wireless and satellite technologies has increased the demand for efficient use of the electromagnetic spectrum. Cognitive satellite networks offer a promising solution, with spectrum sensing being crucial for the optimal utilization of radio-frequency (RF) resources. However, in cognitive satellite networks, characterized by excessive propagation delays, the effectiveness of spectrum sensing depends on the strategic placement of sensing nodes. This article represents the first endeavor in the literature to investigate optimal spectrum-sensing locations considering propagation delay for effective spectrum utilization in cognitive satellite networks. We begin by examining the geostationary (GEO) satellite downlink spectrum availability for cognitive technology through observations of the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Inmarsat-4 F1</i> satellite downlink activities. We then analyze the impact of propagation delays on spectrum sensing in cognitive dual-satellite networks (CDSNs), where low-Earth orbit (LEO) satellites share the spectrum allocated to GEO satellites. Additionally, we address a critical design consideration: tracking GEO frequencies against Doppler shifts at LEO satellites, which significantly affects the effectiveness of spectrum sensing by LEO satellites. Finally, we explore future research directions in spectrum sensing within cognitive GEO-LEO satellite networks.

IEEE Vehicular Technology MagazineVol. 20(3)
University of Technology Sydney (AU), Defence Science and Technology Group (AU), Airbus (United Kingdom) (GB)
Openalex Percentile: Top 1%
Satellite Communication Systems
24.97
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